银屑病中的成像质控细胞仪揭示了皮肤和滑膜组织中免疫特征的异质性。

Lihi Eder, Stephan M Caucheteux, Somaieh Afiuni-Zadeh, David Croitoru, Adriana Krizova, James J Limacher, Christopher Ritchlin, Hartland Jackson, Vincent Piguet
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引用次数: 0

摘要

成像质控细胞仪(IMC)是一种能在组织水平上全面分析细胞表型的技术。我们对银屑病皮肤和滑膜组织样本中的结构细胞群和免疫细胞群进行了多参数表征,旨在确定银屑病和银屑病关节炎(PsA)患者免疫细胞差异的特征。使用 33 种抗体对选定的免疫细胞和结构细胞群进行染色。根据抗体染色组合将 IMC 数据分割成单细胞。然后根据预先指定的标记物将单细胞聚类为细胞类别。利用邻域分析评估不同细胞群的空间关系。在皮肤和滑膜的所有细胞类型中,淋巴细胞是最常见的细胞类型。T细胞和巨噬细胞是滑膜中最常见的免疫细胞类型,此外还发现了B细胞和NK细胞。邻近分析表明,滑膜 T 细胞、B 细胞、巨噬细胞、树突状细胞和中性粒细胞之间存在高度相关性,这表明滑膜存在空间组织。使用 IMC 可以可靠地识别皮肤和滑膜中的先天性和适应性免疫细胞。患者间的组织细胞群存在异质性。IMC 为深入探索驱动银屑病和 PsA 的潜在免疫机制提供了机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Imaging Mass Cytometry in Psoriatic Disease reveals immune profile heterogeneity in skin and synovial tissue.

Imaging Mass Cytometry (IMC) is a technology that enables comprehensive analysis of cellular phenotypes at the tissue level. We performed a multi-parameter characterization of structural and immune cell populations in psoriatic skin and synovial tissue samples aimed at characterizing immune cell differences in patients with psoriasis, psoriatic arthritis (PsA). A panel of 33 antibodies was used to stain selected immune and structural cell populations. IMC data were segmented into single cells based on combinations of antibody stains. Single cells were then clustered into cell categories based on pre-specified markers. The spatial relationships of different cell populations were assessed using neighborhood analysis. Among all cell types in the skin and synovium, lymphoid cells accounted for the most prevalent cell type. T cells and macrophages were the most prevalent immune cell type in the synovium and B cells and NK cells were also identified. Neighborhood analysis showed high correlation between synovial T cells, B cells, macrophages, dendritic cells and neutrophils suggesting spatial organization. Innate and adaptive immune cells can be reliably identified using IMC in skin and synovium. Inter-patient heterogeneity exists in tissue cell populations. IMC provides opportunities for exploring in depth underlying immunological mechanisms driving psoriasis and PsA.

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